This adds -P/--propagate and -Z/--depth to perf.py for showing recursive
results, making it easy to narrow down on where spikes in performance
come from.
This ended up being a bit different from stack.py's recursive results,
as we end up with different (diminishing) numbers as we descend.
This provides 2 things:
1. perf integration with the bench/test runners - This is a bit tricky
with perf as it doesn't have its own way to combine perf measurements
across multiple processes. perf.py works around this by writing
everything to a zip file, using flock to synchronize. As a plus, free
compression!
2. Parsing and presentation of perf results in a format consistent with
the other CSV-based tools. This actually ran into a surprising number of
issues:
- We need to process raw events to get the information we want, this
ends up being a lot of data (~16MiB at 100Hz uncompressed), so we
paralellize the parsing of each decompressed perf file.
- perf reports raw addresses post-ASLR. It does provide sym+off which
is very useful, but to find the source of static functions we need to
reverse the ASLR by finding the delta the produces the best
symbol<->addr matches.
- This isn't related to perf, but decoding dwarf line-numbers is
really complicated. You basically need to write a tiny VM.
This also turns on perf measurement by default for the bench-runner, but at a
low frequency (100 Hz). This can be decreased or removed in the future
if it causes any slowdown.
The main change is requiring field names for -b/-f/-s/-S, this
is a bit more powerful, and supports hidden extra fields, but
can require a bit more typing in some cases.
- Changed multi-field flags to action=append instead of comma-separated.
- Dropped short-names for geometries/powerlosses
- Renamed -Pexponential -> -Plog
- Allowed omitting the 0 for -W0/-H0/-n0 and made -j0 consistent
- Better handling of --xlim/--ylim
Now both scripts also fallback to guessing what fields to use based on
what fields can be converted to integers. This is more falible, and
doesn't work for tests/benchmarks, but in those cases explicit fields
can be used (which is what would be needed without guessing anyways).
These are really just different flavors of test.py and test_runner.c
without support for power-loss testing, but with support for measuring
the cumulative number of bytes read, programmed, and erased.
Note that the existing define parameterization should work perfectly
fine for running benchmarks across various dimensions:
./scripts/bench.py \
runners/bench_runner \
bench_file_read \
-gnor \
-DSIZE='range(0,131072,1024)'
Also added a couple basic benchmarks as a starting point.
- Added the littlefs license note to the scripts.
- Adopted parse_intermixed_args everywhere for more consistent arg
handling.
- Removed argparse's implicit help text formatting as it does not
work with perse_intermixed_args and breaks sometimes.
- Used string concatenation for argparse everywhere, uses backslashed
line continuations only works with argparse because it strips
redundant whitespace.
- Consistent argparse formatting.
- Consistent openio mode handling.
- Consistent color argument handling.
- Adopted functools.lru_cache in tracebd.py.
- Moved unicode printing behind --subscripts in traceby.py, making all
scripts ascii by default.
- Renamed pretty_asserts.py -> prettyasserts.py.
- Renamed struct.py -> struct_.py, the original name conflicts with
Python's built in struct module in horrible ways.
With more scripts generating CSV files this moves most CSV manipulation
into summary.py, which can now handle more or less any arbitrary CSV
file with arbitrary names and fields.
This also includes a bunch of additional, probably unnecessary, tweaks:
- summary.py/coverage.py use a custom fractional type for encoding
fractions, this will also be used for test counts.
- Added a smaller diff output for size scripts with the --percent flag.
- Added line and hit info to coverage.py's CSV files.
- Added --tree flag to stack.py to show only the call tree without
other noise.
- Renamed structs.py to struct.py.
- Changed a few flags around for consistency between size/summary scripts.
- Added `make sizes` alias.
- Added `make lfs.code.csv` rules
These scripts can't easily share the common logic, but separating
field details from the print/merge/csv logic should make the common
part of these scripts much easier to create/modify going forward.
This also tweaked the behavior of summary.py slightly.
A small mistake in test.py's control flow meant the failing test job
would succesfully kill all other test jobs, but then humorously start
up a new process to continue testing.
- Changed `make summary` to show a one line summary
- Added `make lfs.csv` rule, which is useful for finding more info with
other scripts
- Fixed small issue in ./scripts/summary.py
- Added *.ci (callgraph) and *.csv (script output) to CI
A full summary of static measurements (code size, stack usage, etc) can now
be found with:
make summary
This is done through the combination of a new ./scripts/summary.py
script and the ability of existing scripts to merge into existing csv
files, allowing multiple results to be merged either in a pipeline, or
in parallel with a single ./script/summary.py call.
The ./scripts/summary.py script can also be used to quickly compare
different builds or configurations. This is a proper implementation
of a similar but hacky shell script that has already been very useful
for making optimization decisions:
$ ./scripts/structs.py new.csv -d old.csv --summary
name (2 added, 0 removed) code stack structs
TOTAL 28648 (-2.7%) 2448 1012
Also some other small tweaks to scripts:
- Removed state saving diff rules. This isn't the most useful way to
handle comparing changes.
- Added short flags for --summary (-Y) and --files (-F), since these
are quite often used.
